[C3T] Data Warehouse Engineer
Software Mind Warsaw, Masovian Voivodeship, Poland
IT Services and IT Consulting · 1,001-5,000 employees
About the role
You will analyze, process, and interpret large datasets to generate actionable insights for the business. Additionally, you will be responsible for developing and maintaining ingestion processes and designing data warehouse models.
What they look for
Requirements
The role requires at least 2 years of commercial experience with cloud-based solutions and 1 year with data warehouses. Candidates must possess strong SQL proficiency and an understanding of the Data Lakehouse approach.
Benefits
Full description
Company Description
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Job Description
Project – the aim you’ll have
We are looking for a proactive and analytical DWH Engineer who is eager to take on new challenges and think outside the box. The ideal candidate will have a commercial experience in datawarehouse and cloud areas, with additional experience in AWS and PowerBI being a plus. Prior experience in the media or advertising industry is not required; we value curiosity and a willingness to learn.
Position – how you’ll contribute
- Analyze, process, and interpret large datasets to generate actionable insights
- Develop and maintain ingestion and transformation processes
- Design data warehouse models
Qualifications
Expectations – the experience you need
- Commercial experience with cloud-based solutions (at least 2 years)
- Commercial experience with data warehouses (at least 1 year)
- Strong proficiency in SQL (including complex analytical queries and data transformations)
- Understanding of the Data Lakehouse approach
- Experience with source version control systems (Git)
- Familiarity with Snowflake, dbt, and the AWS stack (MWAA, Lambda, SQS, SNS, S3) is an advantage
- Experience with data visualization and BI tools (such as Power BI or Looker) is a plus
- Excellent analytical and problem-solving skills
- A proactive, open-minded approach to challenges and learning new technologies
- Strong communication and collaboration skills
Additional Information
Our offer – professional development, personal growth
- Flexible employment and remote work
- International projects with leading global clients
- International business trips
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
